The $45 Billion Tax of Distrust in U.S. Personal Insurance

Kim Garland, a veteran executive and former president of State Auto Insurance, argues that the industry has reached a breaking point. For decades, insurers have attempted to mitigate risk by layering on data verification processes that inadvertently punish honest customers with friction and delays. The current cycle—accepting fraud as inevitable while raising premiums to cover the losses—has created a low-trust environment where the costs of a few bad actors are offloaded onto the majority of policyholders.

The Trustworthiness Variable

Garland identifies trustworthiness as the next major transformational variable, comparable to the industry-wide shifts once triggered by credit scoring and telematics. By integrating real-time indicators of trust into underwriting and claims processes, insurers could theoretically distinguish between high-risk and genuine customers at the point of interaction. This shift would allow for streamlined service for the vast majority, reserving intensive review only for those cases where risk is actually present. Homeowners insurance, in particular, is highlighted as the most vulnerable sector, where rising costs and dwindling availability are already colliding with public demand. Clearspeed data suggests that those who adopt such risk-assessment technologies are already seeing a 40% increase in immediate settlements and a 50% reduction in claims-handling time, proving that moving away from a 'trust-no-one' model may be the industry's only viable path forward.